Job Description :

- Role : Data Engineer.

- Years of experience : 4+ Years.

Basic Qualifications :

- 4+ years of combined experience in data engineering, database architecture, and DevOps roles.

- Proven production experience with Neo4j or another graph database.

- Expert-level Python development skills, with strong knowledge of distributed data-processing tools.

- Track record of designing and operating incremental / CI-CD data pipelines.

- Hands-on knowledge of GenAI concepts : embeddings, vector databases/stores, Retrieval-Augmented Generation (RAG), prompt engineering, and agent frameworks.

- Experience with version control systems such as Git.

- Strong problem-solving skills and attention to detail.

- Get-it-done mindset : comfortable diving into new technologies, quickly learning whats needed, and shipping reliable solutions.

Qualifications :

- 4+ years of professional experience in data engineering.

- Strong proficiency in SQL , Pandas/Polars/Fireducks and Python.

- Hands-on experience with Apache Spark and Kafka.

- Familiarity with ETL processes and data pipeline orchestration.

- Strong problem-solving and analytical skills.

- Experience with version control systems such as Git.

- Hands on experience with GenAI tools like chatGPT, CoPilot, Aider, Cline etc.

- Need strong foundation on python , pydantic ,pyUnit and pytest.

- Hands-on experience with DevOps practices, including Continuous Integration, Continuous Deployment, and Test Automation.

- Hands-on experience with UI automation frameworks like Selenium or Robot Framework.

Data Exploratory Analysis :

- Familiarity with ETL processes and data pipeline orchestration.

- Strong proficiency in SQL , Pandas/Polars/Fireducks and Python.